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https://github.com/Burf/TFDetection

A Detection Toolbox for Tensorflow2
https://github.com/Burf/TFDetection

anomaly-detection cascade-rcnn deeplabv3 efficientdet efficientdet-lite faster-rcnn fcos hybrid-task-cascade instance-segmentation keras mask-rcnn object-detection patch-core retinanet tensorflow tensorflow2 tf unet upernet yolo

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A Detection Toolbox for Tensorflow2

Host: GitHub
URL: https://github.com/Burf/TFDetection
Owner: Burf
License: apache-2.0
Created: 2022-03-06T14:02:44.000Z (over 2 years ago)
Default Branch: main
Last Pushed: 2023-04-27T03:52:17.000Z (about 1 year ago)
Last Synced: 2024-02-29T07:35:15.708Z (4 months ago)
Topics: anomaly-detection, cascade-rcnn, deeplabv3, efficientdet, efficientdet-lite, faster-rcnn, fcos, hybrid-task-cascade, instance-segmentation, keras, mask-rcnn, object-detection, patch-core, retinanet, tensorflow, tensorflow2, tf, unet, upernet, yolo
Language: Python
Homepage:
Size: 10.6 MB
Stars: 54
Watchers: 4
Forks: 16
Open Issues: 3
Metadata Files:
- Readme: README.md
- License: LICENSE

Lists

awesome-yolo-object-detection - Burf/TFDetection

README

        # TFDetection

TFDetection(tfdet) is a detection toolbox based on Tensorflow2 and Keras.

## Overview of Components



  Detector



  

    

      

        Object Detection

      

      

        Segmentation

      

      

        Anomaly Detection

      

    

    

      

        


          Faster R-CNN(2015)

          RetinaNet(2017)

          YoloV3(2018)

          YoloV3 Tiny(2018)

          Cascade R-CNN(2018)

          FCOS(2019)

          Hybrid Task Cascade(2019)

          EfficientDet(2019)

          YoloV4(2020)

          YoloV4 Tiny(2020)

          EfficientDet Lite(2020)

        

      

      

        

          Semantic Segmentation

          

            FCN(2015)

            UNet(2016)

            PSPNet(2017)

            DeepLab V3(2017)

            DeepLab V3+(2018)

            UNet++(2018)

            UperNet(2018)

          

        

        

          Instance Segmentation

          

            Mask R-CNN(2017)

            Cascade R-CNN(2018)

            Hybrid Task Cascade(2019)

          

        

      

      

        

          SPADE(2020)

          PaDiM(2020)

          PatchCore(2021)

        

      

    

  

 



  Components



  

    

      

        Backbone

      

      

        Neck

      

      

        Other

      

    

    

      

        


          VGGNet(2015)

          ResNet(2016)

          Wide ResNet(2016)

          DenseNet(2016)

          ResNeXt(2016)

          MobileNetV2(2018)

          DarkNet(2018)

          MobileNetV3(2019)

          EfficientNet(2019)

          EfficientNet Lite(2020)

          ResNeSt(2020)

          CSP DarkNet(2020)

          SwinTransformer(2021)

          EfficientNetV2(2021)

          SwinTransformerV2(2021)

          ConvNeXt(2022)

        

      

      

        

          FPN(2017)

          PANet(2018)

          BiFPN(2019)

        

      

      

        

          Assign

          

            Max Iou

            Center Region

            Point

            ATSS

            Sim OTA

            Align OTA

          

        

        

          Augmentation

          

            Albumentations

            Mosaic

            CutMix

            CutOut

            MixUp

            CopyPaste

            MMDetction

            Yolo

          

        

        

          Metric

          

            Mean Average Precision

            Mean IoU

          

        

        

          Export

          

            TFLite

            ONNX

            TensorRT

          

        

      

    

  

## Requirements

- python 3.8▲

- tensorflow 2.4▲ (If you installed tensorflow latest, more backbone is available.)

- opencv-python

## Contributor

 * Hyungjin Kim([email protected])